memorization detection

A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis WACV 2026 Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs AAAI 2026 Powerful Training-Free Membership Inference Against Fine-Tuned Autoregressive Language Models ACL 2026 An Inversion-based Measure of Memorization for Diffusion Models ICCV 2025 Exploring Local Memorization in Diffusion Models via Bright Ending Attention ICLR 2025 Image-level Memorization Detection via Inversion-based Inference Perturbation ICLR 2025 LLMs and Copyright Risks: Benchmarks and Mitigation Approaches NAACL 2025 Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges COLING 2025 Detecting, Explaining, and Mitigating Memorization in Diffusion Models ICLR 2024 The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024 Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models NeurIPS 2023 Detecting Unintended Memorization in Language-Model-Fused ASR Interspeech 2022 Evaluating and Explaining Natural Language Generation with GenX NAACL 2021